Multi-data Scene Flow Challenge

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Scene flow on Argoverse 2, Waymo, TruckScenes, nuScenes and Aeva, ranked by mean Dynamic (lower is better). Challenge details

Track: supervised (clear filter) Training data: multi-dataset (clear filter)
# Method mean Dynamic [0-70] mean Dynamic [0-35] mean Dynamic [35-70] AV2 [0-70]Waymo [0-70]TruckScenes [0-70]NuScenes [0-70]Aeva [0-70] Date
1 SynFlow-4k w real-data 0.2200 0.1602 0.2799 0.1151 0.1258 0.2775 0.3125 0.2692 2026-04-16
2 UniFlow-deltaflow 0.2421 0.1740 0.3103 0.1242 0.1397 0.2997 0.3613 0.2856 2026-04-06
3 UniFlow-flow4d 0.2644 0.1955 0.3333 0.1496 0.1608 0.3138 0.3618 0.3358 2026-04-06
4 UniFlow-ssf 0.2968 0.2177 0.3760 0.1754 0.1867 0.3186 0.3881 0.4153 2026-04-06

Click a label such as supervised, unsupervised or multi-dataset to filter by it. Bold green marks the best value in each column. Dynamic metrics are speed-normalized EPE (unitless); Static and Threeway metrics are EPE in meters. Every [0-70] value is the mean of the 0–35 m and 35–70 m values (per dataset in the dataset columns); full tables are under “+ details”.